🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson rates Al Ain at 38% — current form provides partial corroboration, though signals are mixed in this Al Wahda FC vs Al Ain encounter.

✍️ Match Preview

Analysis

Al Ain make the trip to Al Nahyan Stadium to face Al Wahda FC in Pro League, Regular Season - 20. The match kicks off on Tuesday 17 March 2026 at 17:30 UTC.

Form & Momentum

Al Wahda FC have collected 1.30 PPG across 10 Pro League outings this season: 3W 4D 3L. Last five: D L W D L. They are averaging 1.30 goals per game and conceding 1.00 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings provides some defensive foundation. This season is still relatively young for Al Wahda FC, so this record blends games from this season and last.

Al Wahda FC at Al Nahyan Stadium this season: 6W 3D 1L from 10 home games — 2.10 PPG on home soil. At home they are averaging 1.90 goals scored and 0.90 conceded per game. 5 clean sheets from 10 home games (50%) — they are an exceptionally hard side to score against at Al Nahyan Stadium. Their home PPG of 2.10 is noticeably stronger than their overall 1.30 — Al Wahda FC are significantly better at Al Nahyan Stadium than their overall form suggests.

Al Ain (all games): 7W 3D 0L across 10 Pro League outings this term — 2.40 points per game. Last five: W D W W W. Their attacking form is sharp — 2.00 goals per game is a high-output rate that commands respect in the goals markets. 3 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 70% of their games — a noteworthy BTTS rate that supports the Yes market. This season is still relatively young for Al Ain, so this record blends games from this season and last.

Al Ain away from home this season: 8W 2D 0L from 10 away games — 2.60 PPG on the road. They are averaging 2.20 goals per away game — strong road scoring that makes them a threat even without home support. Both teams have scored in 70% of their away matches — a high BTTS rate on the road that directly informs this fixture.

On a straight form reading, Al Ain are the stronger side — 1.10 PPG clear of the hosts (2.40 vs 1.30). Backing them with draw insurance is the conservative play if the outright away price appears short.

Head-to-Head

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 9 meetings: Al Wahda FC 4W, Al Ain 3W, 2D.

The 9 previous meetings have averaged 2.8 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 17 Jan 2026, ended 2–2 with a draw.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

Trading Data

Al Wahda FC goal-timing and half-time pattern breakdown (45 games, 23 at home): they score before half-time in 70% of fixtures in home games; when goalless at HT, a second-half goal follows 73% of the time; two or more arrive in the second half on 53% of those occasions; BTTS occurs in 61% of their matches (home games); Over 2.5 goals lands in 70% of games (home games); Over 3.5 in 38%.

Al Ain goal-timing and half-time pattern breakdown (45 games, 23 at away): they score before half-time in 65% of fixtures in away games; when goalless at HT, a second-half goal follows 77% of the time; BTTS occurs in 65% of their matches (away games); Over 2.5 goals lands in 74% of games (away games); Over 3.5 in 42%.

BTTS rates are mixed from the trading data — Al Wahda FC 53% versus Al Ain 60%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Al Wahda FC 53% | Al Ain 64%).

Poisson Model

The Poisson distribution model projects Al Wahda FC 1.47 xG and Al Ain 1.49 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Al Wahda FC attack 1.115 / defence 0.817 | Al Ain attack 1.323 / defence 0.942. League average goals — home 1.399 / away 1.383. Al Ain have an above-average attack strength of 1.323 — the away xG of 1.49 is driven by genuine attacking quality on the road. Data: 45 Al Wahda FC games / 45 Al Ain games used (CurrentSeason).

Result probabilities: Al Wahda FC 37% | Draw 24% | Al Ain 38%. Fair-value odds: Al Wahda FC 2.70 | Draw 4.17 | Al Ain 2.63. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 57% | BTTS probability 60% | Total xG 2.96. Over 2.5 holds a meaningful probability edge at 57% — the 2.96 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 60% reflects that both xG figures (1.47 / 1.49) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Final Verdict

Poisson rates Al Ain as the most likely outcome at 38% — marginal model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw probability of 24% warrants consideration of Double Chance or Draw No Bet on Al Ain if the outright odds are short. The opposing side holds a 37% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.96 xG in total — Over 2.5 at 57% — strong confidence, supported by form averaging 3.0 goals per game and H2H averaging 2.8 goals per meeting.

Poisson assigns a 60% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Al Wahda FC 50% | Al Ain 70% BTTS from recent games.

The outsider holds a 37% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights